Description

Experienced Machine Learning Engineer/gen AI Engineer with an advanced STEM degree and proven expertise in designing, deploying, and maintaining production ML solutions using Python, PyTorch, and TensorFlow across AWS, and Azure platforms. Demonstrated success in implementing end-to-end ML pipelines from data preparation and model engineering to deployment and monitoring, with strong proficiency in MLOps frameworks, CI/CD, and API design. Combines deep technical knowledge in classical ML, deep learning, and transformers with excellent client-facing consulting skills to translate complex business requirements into scalable AI solutions. Passionate about building impactful applications ranging from forecasting tools to LLM-based chatbots, with a commitment to software engineering best practices and continuous learning in emerging AI technologies.

Languages

English
Native or bilingual
Hindi
Fluent

Workplace preferences

Remote only

Primarily works remotely

CBRE UK
Senior AI Engineer
REAL ESTATE
July 2025 - February 2026 (7 months)
• ● Implemented robust machine learning APIs following software engineering best practices, supporting 500% user growth without performance degradation.
• ● Leveraged consulting experience to guide clients through AI solution implementation, ensuring successful adoption of machine learning technologies in their business processes.
• ● Developed comprehensive version control and monitoring systems using Azure Machine Learning, reducing model failures by 85% and improving system reliability.
• ● Collaborated with cross-functional teams to design and implement AI solutions for image recognition applications using deep learning frameworks.
Microsoft Azure Machine Learning Theory artificial intelligence
Virtual Reality Kingdom Technologies|
MLOps Engineer
February 2023 - July 2025 (2 years and 5 months)
Reading, UK
• ● Implemented automated machine learning pipelines using Python and AWS SageMaker resulting in 75% reduction in data preprocessing time and $200K annual cost savings.
• ● Deployed deep learning solutions using PyTorch and TensorFlow with comprehensive model monitoring, achieving 95% accuracy improvement and recovering 85% of at-risk client accounts.
• ● Consulted with client-facing teams to develop chatbots leveraging LLM technologies, enhancing customer engagement through conversational AI interfaces.
• ● Demonstrated strong communication skills while presenting technical AI solutions to stakeholders and facilitating collaboration between engineering and business teams.
Innovation Systems
Data Scientist
December 2017 - December 2021 (4 years)
Bengaluru, Karnataka, India
• ● Developed machine learning engineer expertise through advanced degree in quantitative discipline and extensive industry experience in data science applications.
• ● Identified lack of standardized model deployment processes causing 3-week release delays. Established MLOps CI/CD pipelines across AWS, Azure, cloud platforms, reducing deployment time by 80% and enabling weekly model releases.